Indian students’ attitude toward educational debt: scale development and validation

2019 ◽  
Vol 27 (4) ◽  
pp. 361-383 ◽  
Author(s):  
Jagdish Kaur ◽  
Sangeeta Arora
Keyword(s):  
Factor Analysis ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Economic Empowerment ◽  
Content Type ◽  
Educational Debt ◽  
The Impact ◽  
Students Satisfaction

Purpose This paper aims to develop, refine and validate a multidimensional scale for measuring students’ attitude toward educational debt for higher studies in Punjab (India) and the impact of this attitude on the satisfaction of students. Design/methodology/approach The study uses interview and survey approach. The sample comprises 417 students from four public and four private universities of Punjab (India). Exploratory factor analysis and confirmatory factor analysis have been used to develop and validate students’ attitude toward education loan scale (Morgado et al., 2017). Further, structural equation modeling (SEM) has been used to analyze the impact of factors of students’ attitude on their satisfaction. Findings The scale has been tested for both reliability and validity. Analysis has revealed six factors of students’ attitude toward educational debt, namely, economic empowerment, social empowerment, utility, procedural requirements, risk and stress. These, six independent variables and one dependent variable, i.e. students’ satisfaction, were entered into structural equation model. The structural equation model shows that procedural requirements, economic empowerment and utility have a positive, whereas stress has a negative and significant impact on the students’ satisfaction. Practical implications Education financing is a gigantic problem nowadays due to the high cost of self-financing courses in Punjab. To make higher education accessible to all students, education loan plays a vital role. Thus, the attitude of students is of great importance to policymakers to bring reforms in education loan scheme. Originality/value To the best of the authors’ knowledge, this study is the foremost study for developing a validated tool to measure the students’ attitude toward educational debt in India.

Analyzing the post-harvest supply chain enablers of vertical integration for rural employability and marketability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Priyadarshi ◽  
Srikanta Routroy ◽  
Girish Kant
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Vertical Integration ◽  
Rural Areas ◽  
Structural Equation ◽  
Equation Modeling ◽  
Value Addition ◽  
Content Type ◽  
Post Harvest ◽  
The Impact

Purpose The purpose of this study is to analyze the post-harvest supply chain enablers (PHSCEs) for vertical integration to enhance rural employability, farmer profitability and rural produce marketability (i.e. market prospects) in the post-harvest supply chain (PHSC). The impact of vertical integration is also explored for various commercial produces. Design/methodology/approach A structural equation modeling (SEM) of PHSCEs for vertical integration was developed to enhance market prospects, rural employability and farmer profitability. The impact of business-to-business (B2B) and business-to-customer market prospects are explored in various dimensions for stakeholders such as farmers, manufacturers (processors), distributors and retailers. The fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS) was used to prioritize these PHSCEs to improve market prospects and rural employability. Findings The PHSCEs are clustered into three groups, namely, initiatives at the strategic frontier, initiatives at the tactical frontier and concerns for rural employability via vertical integration using exploratory factor analysis, confirmatory factor analysis and SEM to prove the null hypothesis. With F-TOPSIS results, the availability of warehousing was found to be the most crucial enabler when observing the PHSCEs from the initiatives’ perspective. The technology adaptability and availability, institute for training and research and information infrastructure and information visibility were found to be the key PHSCEs when observed from PHSC stakeholders’ perspectives. Research limitations/implications The implementation of this study will improve the rural produce marketability, rural employability, B2B marketing (i.e. effective distribution) and subsequent value chains with the practice of vertical integration for fresh produce at the rural level. Practical implications The outcomes of this study have a key role in developing the rural regions and improving rural livelihoods via value addition. The awareness of commercial cultivation and value addition in rural areas needs to be improved. This will help farmers to earn better revenues with improved market prospects in comparison to the revenues obtained from the cultivation of staple/conventional crops. Originality/value In an era of cold chains and food processing, this study aims to disseminate awareness about value addition for commercial and fresh produces at the rural level. The implication of this study will improve rural produce marketability, rural employability and farmer profitability at the rural level with the level of vertical integration.

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

Emotional brand attachment: a factor in customer-bank relationships

2016 ◽  
Vol 34 (2) ◽  
pp. 136-150 ◽  
Author(s):  
Shalom Levy ◽  
Hayiel Hino
Keyword(s):  
Factor Analysis ◽  
Conceptual Framework ◽  
Structural Equation ◽  
Positive Relationship ◽  
Service Providers ◽  
Equation Modeling ◽  
Emotional Attachment ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to evaluate the relationship between customers’ emotional attachment toward bank service providers and bank loyalty. In particular, the study examines the impact of the emotional attachment factor while treating established effecting variables by employing a new conceptual framework that integrates these variables. Design/methodology/approach – The study employs data collected from a survey involving 436 participants. The study employs Exploratory Factor Analysis and Confirmatory Factor Analysis methods following a path analysis method and structural equation modeling for testing research hypotheses. Findings – The empirical results support the claim that the conceptual framework applied in this study better explains the relationship between customers’ emotional attachment toward bank service providers and bank loyalty. Specifically, the findings show a significant, direct and positive relationship between the customer’s emotional attachment and bank loyalty; an indirect positive relationship also exists through the connection of customer satisfaction. The study distinguishes between two integrated pathways consumers possibly follow when making decisions about services: the conscious decision-making process path and the emotional process path. Practical implications – The paper provides managerial and planning implications to bank service providers who seek to achieve excellent performance and a positive brand personality, thus maintaining long-lasting relationships with their customers. Originality/value – The study is among the few empirical works to specifically examine the impact of customers’ emotional attachment on bank loyalty and contributes to the available literature in that it suggests a systematic conceptual framework that evaluates the impact of key factors on bank loyalty.

Perceived servant leadership: the impact of servant leadership on intrinsic and extrinsic job satisfaction

2020 ◽  
Vol 28 (2) ◽  
pp. 27-29
Keyword(s):  
Job Satisfaction ◽  
Factor Analysis ◽  
Servant Leadership ◽  
Structural Equation ◽  
Service Sector ◽  
The Body ◽  
Equation Modeling ◽  
Good Reliability ◽  
Content Type ◽  
The Impact

Purpose The purpose of this study is to assess the impact of perceived servant leadership on the intrinsic and extrinsic job satisfaction of followers. Design/methodology/approach Data was gathered from the responses of 205 employees working in service- sector organizations in Kuwait as part of a larger questionnaire survey on employee satisfaction and leadership. Servant leadership was then measured using Liden’s (2008) 28 item servant leader instrument and analyzed using factor analysis and structural equation modeling. Findings The results suggest that the seven factor model proposed by Linden (2008) is shown to be valid in this study with good reliability. In addition a second-order factor analysis showed strong positive correlations were found between servant leadership and both intrinsic (0.69) and extrinsic (0.08) job satisfaction. Practical implications Promoting altruistic approaches to leadership which increases extrinsic and intrinsic job satisfaction will have a positive effect on the organizational goals. Leaders should be made aware of this so they can put interventions in place to improve overall performance. Originality/value This paper is of value as research examining the relationship between servant leadership and job satisfaction has been limited so it adds to the body of knowledge with particular relevance to the nature of this relationship in the service sector in the Middle East.

Transparency policy and students’ satisfaction and trust

2015 ◽  
Vol 9 (3) ◽  
pp. 309-323 ◽  
Author(s):  
Cayetano Medina ◽  
Ramón Rufín
Keyword(s):  
Indirect Effect ◽  
Structural Equation ◽  
Equation Model ◽  
Education Students ◽  
Content Type ◽  
Key Factor ◽  
The Impact ◽  
The Relationship ◽  
Students Satisfaction ◽  
Research Show

Purpose – This paper aims to analyse the effectiveness of the transparency policy carried out by a public university in terms of the impact on students’ satisfaction and trust. The loss of trust suffered by public institutions means that they are trying to identify the existing formulae so that this can be restored, and this includes transparency. In universities, certain changes in their situation mean that the demand for transparency policies is even greater. Design/methodology/approach – To carry out the transparency survey, data were collected using 6,180 valid questionnaires among the degree, postgraduate and continuing education students of the UNED. The statistical behaviour of the constructs included in the model was analysed by developing the structural equation model with SmartPLS. Findings – The results of this research show that transparency does have both a direct effect on trust and an indirect effect that is mediated by satisfaction. This latter indirect effect comes out stronger than the direct one. Thus, satisfaction emerges as a key factor for any research on the relationship between transparency and trust. Originality/value – This paper verifies the impact of the transparency policy on the satisfaction and trust towards a public university’s services.

The impact of applying knowledge in the technological pillars of Industry 4.0 on supply chain performance

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anurak Sawangwong ◽  
Poti Chaopaisarn
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Organizational Performance ◽  
Cyber Security ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Content Type ◽  
The Impact

PurposeThe purpose of the study is to investigate the impact of technological pillars of Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and medium-sized enterprises (SMEs) 4.0. In addition, to increase knowledge and understanding of how to apply knowledge in technology 4.0 to improve the efficiency of supply chains and organizations.Design/methodology/approachAn integrated model was developed from applying knowledge in five technological pillars of Industry 4.0 such as Internet of things (IoTs), cloud computing, big data and analytics, additive manufacturing and cyber-security. The bibliometric analysis was used to find the relationship between the technological pillars of Industry 4.0 and the literature review. The survey questionnaires were sent to Thai SME 4.0 (manufacturing aspect). Of these, 240 useable responses were received, resulting in a response rate of 65.84%, after then, the exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM) and validity were used to evaluate the model through IBM SPSS 21 and AMOS 22.FindingsEFA showed the four groups of the technological pillars of Industry 4.0, such as support human, automation, real-time and security. These groups positively impact supply chain performance (increase delivery reliability, increase resource efficiency, decrease costs in the supply chain and reduce delivery time). Another important finding is that supply chain performance positively impacts organizational performance in profitability, return on investment (ROI) and sale growth.Originality/valueThis study is a model development to support the supply chain performance and increase understanding related to applying knowledge in technology 4.0 that remains unclear for SME 4.0.

The effect of service quality on foreign participants’ satisfaction and behavioral intention with the 2016 Shanghai International Marathon

2019 ◽  
Vol 21 (1) ◽  
pp. 91-105 ◽  
Author(s):  
Yi Xiao ◽  
Xiaoling Ren ◽  
Pei Zhang ◽  
Antonnette Ketlhoafetse
Keyword(s):  
Service Quality ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Structural Model ◽  
Equation Model ◽  
Equation Modeling ◽  
City Image ◽  
Content Type ◽  
Sports Events ◽  
The Impact

Purpose The purpose of this paper is to examine foreign participants’ service quality, satisfaction and behavioral intention during the 2016 Shanghai International Marathon, and to gain a better understanding of the impact of service quality on their satisfaction and behavioral intention. Design/methodology/approach An English questionnaire was originally designed on the basis of the literature review of service quality, overall satisfaction and re-participation intention to assess the purpose of the study. Data were collected from 308 foreign runners including 61.7 percent (n=190) of male and 38.3 percent (n=118) of the female. Structural equation modeling was employed to check the proposed model and to test the impact of service quality on foreign participants’ overall satisfaction and behavioral intention. Findings A positive correlation was captured between the following: service quality and overall satisfaction (r=0.752, p<0.01), overall satisfaction and behavioral intention (r=0.876, p<0.01), and between service quality and participants’ behavioral intention (r=0.760, p<0.01). Furthermore, the service quality of Shanghai International Marathon had an indirect effect on foreign participants’ behavioral intention. The structural model fits the data well (R2=0.823). Research limitations/implications First, the sample size was small and was just drawn from one event, which can be taken with caution in the context of the generalization of findings. Second, the results are specific to 2016 Shanghai International Marathon participants and cannot be generalized with other events in China or around the world. Practical implications The results are practical for the marathon event organizers to better understand foreign participants’ needs and improve their services. This study has a significant importance to the sports events organizers, especially the organizers of the Shanghai International Marathon in terms of a better understanding the level of their service. This study will also help the event organizers to adapt their strategies and their efforts to increase Shanghai International Marathon foreign participants’ satisfaction and intention to repurchase or to share with others. Social implications This study contributes to the foreign participant’s satisfaction literature. In fact, many studies were carried on event spectators’ satisfaction while rare studies were carried on event participants’ satisfaction, especially marathon foreign participants’ satisfaction, and this study will supplement studies related to sport events participation. This will be convenient for sports managers and scholars to better understand the impact of service quality on participants’ satisfaction and behavioral intention in the field of sports events management. Meanwhile, the results were extremely useful to Shanghai during the process of constructing a “world-famous sports city” and “modern international metropolis”. Originality/value Little literature focus on foreign participants of Shanghai International Marathon, which is important in the process of shaping city image and building world-famous city. Are foreign participants satisfied with the Shanghai International Marathon? Which aspect of the service quality is of greater value for them? What are the influencing factors of their behavioral intention and word-of-mouth communication? What are the specific impact paths among the service quality, overall satisfaction and behavioral intention variables? To examine the objectives, the study was designed to target foreign participants’ service quality, satisfaction and behavioral intention. Besides, structural equation model was applied in this study to explore the path relationship between service quality, satisfaction and behavioral intention specifically.

Judgments of acquisition value and transaction value

2019 ◽  
Vol 12 (3) ◽  
pp. 389-410
Author(s):  
Nitin Soni ◽  
Jagrook Dawra
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Structural Equation ◽  
Structural Model ◽  
Equation Modeling ◽  
Behavioral Pricing ◽  
Content Type ◽  
Decision Making Styles ◽  
Transaction Value ◽  
The Impact

Purpose An open question of behavioral pricing literature is: What are the factors which influence consumers’ judgments of acquisition value and transaction value? An important framework to explain consumers’ shopping and purchase decisions is their decision-making styles. This paper aims to examine the influence of consumers’ decision-making styles, that is, perfectionistic high-quality conscious, brand conscious-price equals quality, novelty-fashion conscious, recreational-hedonistic, price conscious-value for money, impulsive-careless, habitual-brand loyal and confused by overchoice on their judgments of acquisition value and transaction value. Design/methodology/approach From the literature, a conceptual framework was formulated. Data was collected from a survey of 304 respondents. The measurement model was tested using exploratory factor analysis and confirmatory factor analysis. The structural model was tested using structural equation modeling. Findings The consumers’ judgments of acquisition value and transaction value vary with their decision-making styles. The measurement and structural models exhibited good fit, and 12 of the 16 proposed hypotheses were found to be significant. Research limitations/implications The respondents for this research study were urban and postgraduate students. Practical implications The results of this study can help managers personalize their promotional offers and market offerings targeted at consumers with different decision-making styles. Originality/value Behavioral pricing literature has not convincingly shown that consumers make the judgments of the two values, acquisition value and transaction value, in a purchase scenario. There is limited literature on the impact of decision-making styles on the marketing variables. The results of this study contribute to the literature by showing that consumers make the judgments of these two values, and these judgments vary with their decision-making styles. Also, this is one of only a few studies to examine the two components of the purchase value in an Indian context.

scholarly journals The Impact of Social Media Influencers Raffi Ahmad and Nagita Slavina on Tourism Visit Intentions across Millennials and Zoomers Using a Hierarchical Likelihood Structural Equation Model

2022 ◽  
Vol 14 (1) ◽  
pp. 524
Author(s):  
Rezzy Eko Caraka ◽  
Maengseok Noh ◽  
Youngjo Lee ◽  
Toni Toharudin ◽  
Yusra ◽  
...  
Keyword(s):  
Social Media ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Variational Approximation ◽  
Features Selection ◽  
Hierarchical Likelihood ◽  
Study Results ◽  
The Impact

Background: In this paper, we examine how social media influencers can influence visit intention, especially in the case of Raffi Ahmad and Nagita Slavina, a top influencer who by 2 September 2021 had reached 21.3 M subscribers on YouTube and 54.9 m followers on Instagram with an engagement rate of 0.42%. The focus of this study is Generation Y or Millennials (born 1981–1996) and Generation Z (born 1997–2012). Design/methodology/approach: Snowball sampling was performed to arrive at a representative group of Millennials. Data analysis was performed using hierarchical likelihood via structural equation modeling. Findings: The study results are helpful for a comprehensive understanding of factors affecting visit intention. Effects of the study results summary, tourists from Generations Y and Z are thriving within the internet of things and the digital age, an era in which information can be accessed via various forms of technology across multiple platforms. Practical implications: We discuss and identify the relative importance of each factor through the use of logistics with variational approximation and structural equation models using hierarchical likelihood. Originality: The technique we use is an integrated and extended version of the structural equation model with hierarchical likelihood estimation and features selection using logistics variational approximation.

scholarly journals Role of Passion as a Mediator between Motivational and Individual Traits of Technology Entrepreneurs

2019 ◽  
Vol 8 (4) ◽  
pp. 12279-12286
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Vital Role ◽  
Primary Data ◽  
Equation Modeling ◽  
Individual Factors ◽  
The Individual

Background and Objectives:Technology today plays a major role in devising a creative business idea and implementing the same. The process of translating an idea into business depends on the individual who is able to harness his individual potential and self-motivation to bring about a business venture. This paper aims at devising a structural equation model on the individual factors and motivational factors which can bring about a technological business venture. Methods: A conceptual framework has been prepared and tested with a structural equation model. The study was conducted with primary data collected from 100 techno entrepreneurs in the city of Chennai and Bangalore using a structured questionnaire. Results: Exploratory Factor Analysis (EFA) confirmatory factor analysis (CFA) and structural equation modeling has been used to identify the various motivational and individual factors that facilitateindividuals becoming entrepreneurs taking up businesses which use technology for its growth. Structural equation modeling was used to test the hypothesis. Conclusions:The findings highlight the individual and motivational the factors create a spur that sets a tone to play a vital role in establishing a enterprise that is technology driven.

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